Package: PRC 0.2.2
PRC: Principal Response Curves (PRC) For Displaying Multivariate Main Effects And Interactions
PRC is a small \code{vegan}-based package to create and display Principal Response Curves (PRC), which are a special case of Redundancy Analysis (rda) for multivariate responses in designed experiments and repeated measurement designs. PRC expresses ordination scores as deviation from a reference, usually to visualize multivariate A-dependent effects (e.g time-dependent effects) of a treatment B in (un)balanced factorial experiments. The main user functions are \code{\link{doPRC}}, \code{\link{plotPRC}} and \code{\link{plotPRC2d}}. The easiest example is the code demo \code{PRC_pyrifos}.
Authors:
PRC_0.2.2.tar.gz
PRC_0.2.2.zip(r-4.5)PRC_0.2.2.zip(r-4.4)PRC_0.2.2.zip(r-4.3)
PRC_0.2.2.tgz(r-4.4-any)PRC_0.2.2.tgz(r-4.3-any)
PRC_0.2.2.tar.gz(r-4.5-noble)PRC_0.2.2.tar.gz(r-4.4-noble)
PRC_0.2.2.tgz(r-4.4-emscripten)PRC_0.2.2.tgz(r-4.3-emscripten)
PRC.pdf |PRC.html✨
PRC/json (API)
# Install 'PRC' in R: |
install.packages('PRC', repos = c('https://cajoterbraak.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cajoterbraak/prc/issues
- Ossenkampen - Data from Ossenkampen experiment
- biomonitoring - Biomonitoring example from van den Brink et al.
Last updated 10 months agofrom:4461bebecd. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | WARNING | Oct 31 2024 |
R-4.5-linux | WARNING | Oct 31 2024 |
R-4.4-win | WARNING | Oct 31 2024 |
R-4.4-mac | WARNING | Oct 31 2024 |
R-4.3-win | WARNING | Oct 31 2024 |
R-4.3-mac | WARNING | Oct 31 2024 |
Exports:doPRCfvalues4levelsget_focal_and_conditioning_factorsplot_sample_scores_cdtplot_species_scores_2dplot_species_scores_bkplotPRCplotPRC2dPRC_scoresrdacca_taxon_stats
Dependencies:cliclustercolorspacedplyrfansifarvergenericsggplot2ggrepelgluegridExtragtableisobandlabelinglatex2explatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepermutepillarpkgconfigR6RColorBrewerRcpprlangscalesstringistringrtibbletidyselectutf8vctrsveganviridisLitewithr